Purpose: to analyze the issues of development and application of an automatic control system for the technological process of water distribution in the Donskoy main channel (DMC) using proportional-integral differential PID controllers and a control scheme for the upstream. The urgency of this purpose is justified by the fact that effective management of water level in channel is of great importance for agricultural production and water supply to adjacent territories. The analysis of the main components of the control system, including PID controllers and the upstream control scheme is performed. The possibility of using these components for effective control and regulation of water level in the channel is considered.
Materials and methods. A detailed analysis of the factors that must be taken into account when designing an automatic control system of water in a channel using PID controllers has been carried out. An algorithm for controlling water level in the upstream channel using PID controllers is proposed.
Results. Measures for the water distribution management system development and implementation in the Donskoy main channel are proposed. It is stated that when designing a control system, the configuration of the channel and the measures to ensure a uniform distribution of water along its entire length should be taken into account, considering the unsteady water motion in the Donskoy main channel. The results of the analysis show that the automatic control system using PID controllers and the upstream control scheme has the potential to control the water level in the DMC effectively.
Conclusions. Based on the analysis carried out, it was concluded that it is possible to design an automatic water control system in the DMC using PID controllers and a control scheme for the upstream successfully. Further research and development can contribute to the optimization of water distribution management and increase the efficiency of agricultural production in the region.
doi: 10.31774/2712-9357-2023-13-4-362-384
water distribution control, main channel, upstream control, proportional-integral differential PID controllers, automatic control, agricultural production
Tkachev A. A., Аnokhin А. М., Litunovsky I. G., Simonchuk D. A. Opportunity analysis of designing an automatic control system for the technological process of water distribution using PID controllers in upstream control in the Donskoy main channel. Land Reclamation and Hydraulic Engineering. 2023;13(4):362–384. (In Russ.). https://doi.org/10.31774/2712-9357-2023-13-4-362-384.
1. Yadrov Yu.G., 2019. Osnovy avtomatizirovannogo upravleniya tekhnologicheskimi protsessami [Fundamentals of Automated Control of Technological Processes]. Moscow, Litera Publ., 189 p. (In Russian).
2. Tkachev A.A., Olgarenko I.V., 2021. [Urgent problems of water distribution management in main canals of irrigation systems]. Nauchnyy zhurnal Rossiyskogo NII problem melioratsii, vol. 11, no. 2, pp. 1-23, available: http:www.rosniipm-sm.ru/article?n=1192 [accessed 01.07.2023], DOI: 10.31774/2222-1816-2021-11-2-1-23. (In Russian).
3. Bolatbekov M.A., Baisakalov B.A., 2012. Proektirovanie sistem avtomaticheskogo upravleniya [Design of Automatic Control Systems]. Almaty, KazNU, 157 p. (In Russian).
4. Tkachev A.A., Ivanenko Yu.G., Zarubin V.V., Olgarenko I.V., 2019. Automation of water distribution management during the reconstruction of main irrigation canals. IOP Conference Series: Materials Science and Engineering, vol. 537, 032070, DOI: 10.1088/1757-899X/537/3/032070.
5. Kroneveter A.V., Kostromina A.G., 2016. Sistemy avtomaticheskogo upravleniya [Automatic Control Systems]. St. Petersburg, Piter Publ., 214 p. (In Russian).
6. Danilov V.P., Popov E.P., 2004. Proektirovanie sistem avtomaticheskogo upravleniya [Design of Automatic Control Systems]. St. Petersburg, SPbGETU “LETI”, 178 p. (In Russian).
7. Chen Ch., 1989. Ustoychivost' v neustanovivshemsya gidravlicheskom dvizhenii [Stability in Unsteady Hydraulic Motion]. Moscow, Mir Publ., 215 p. (In Russian).
8. Baruch M., 2006. Elementy teorii iskusstvennogo intellekta v sistemakh upravleniya [Elements of the Theory of Artificial Intelligence in Control Systems]. Moscow, Nauka Publ., 173 p. (In Russian).
9. Garambois P.-A., Larnier K., Monnier J., Finaud-Guyot P., Verley J., Montazem A.-S., Calmant S., 2020. Variational estimation of effective channel and ungauged anabranching river discharge from multi-satellite water heights of different spatial sparsity. Journal of Hydrology, vol. 581, 124409, https:doi.org/10.1016/j.jhydrol.2019.124409.
10. Ivanenko Yu.G., Tkachev A.A., Bakshtanin A.M., Gurin K.G., 2022. Issledovanie protsessov transformatsii raskhodov i glubin vody v derivatsionnom kanale GES pri sutochnom regulirovanii stoka [Investigation of transformation processes and depth of water in the derivation channel of the HHP during daily runoff regulation]. Gidrotekhnicheskoe stroitel'stvo [Power Technology and Engineering], no. 4, pp. 26-30, http:dx.doi.org/10.34831/EP.2022.64.50.005. (In Russian).
11. Chow V., 1973. Teoriya neustanovivshegosya dvizheniya zhidkostey [Theory of Unsteady Motion of Liquids]. Moscow, Mir Publ., 188 p. (In Russian).
12. Krushinsky V.M., Bokov S.N., 1987. Otkrytye gidravlicheskie kanaly [Open Channel Hydraulics]. Moscow, Higher School Publ., 209 p. (In Russian).
13. Cheild R., Fall A.R., 1987. Raschet otkrytykh kanalov: gidrologiya i gidravlika [Calculation of Open Channels: Hydrology and Hydraulics]. Moscow, Stroyizdat Publ., 166 p. (In Russian).
14. Stevenson W.J., 2010. Promyshlennoe upravlenie i regulirovanie [Production/Operations Management]. Moscow, Tekhnosfera Publ., 230 p. (In Russian).
15. Mann J., Reynolds J., 2007. Mikrokontrollery: printsipy i primenenie [Microcontrollers: Principles and Applications]. Moscow, Technosfera Publ., 218 p. (In Russian).
16. Milašinović M., Prodanović D., Stanić M., Zindović B., Stojanović B., Milivojević N., 2022. Control theory-based data assimilation for open channel hydraulic models: tuning PID controllers using multi-objective optimization. Journal of Hydroinformatics, 24(4), pp. 898-916, https:doi.org/10.2166/hydro.2022.034.
17. Milašinović M., Zindović B., Rosić N., Prodanović D. (authors), Gourbesville P., Caignaert G. (eds), 2020. PID controllers as data assimilation tool for 1D hydrodynamic models of different complexity. Advances in Hydroinformatics. Singapore, Springer, pp. 1009-1022, https:doi.org/10.1007/978-981-15-5436-0_76.
18. Fu M., Fan T., Ding Z., Salih S.Q., Al-Ansari N., Yaseen Z.M., 2020. Deep learning data-intelligence model based on adjusted forecasting window scale: application in daily streamflow simulation. IEEE Access, vol. 8, pp. 32632-32651, DOI: 10.1109/ACCESS.2020.2974406.
19. Fava M.C., Mazzoleni M., Abe N., Mendiondo E.M., Solomatine D.P., 2020. Improving flood forecasting using an input correction method in urban models in poorly gauged areas. Hydrological Sciences Journal, 65(7), pp. 1096-1111, http:dx.doi.org/10.1080/02626667.2020.1729984.
